Materiale di supporto al corso di Sistemi Intelligenza (gli articoli sono in corsivo)

Intelligenza simbolica ed Artificial Life
Russell and Norvig, Artificial Intelligence, a Modern Approach, Prentice-Hall (Capitolo 27). 
•	J.E: Hopcroft, Macchine di Turing, Le Scienze, 1984.
•	D. Terzopoulos, Artificial Life, Communications of the ACM, agosto 1999.
•	Craig W. Reynolds, Flocks, Herds, and Schools: A Distributed Behavioral Model, Computer Graphics, Volume 21, Number 4, July 1987.
•	Bruce M. Blumberg and Tinsley A. Galyean. Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments. Proc. Siggraph 1995.
•	C. Langton, Studying Artificial life with cellular Automata, Physica 22D, 1986.
•	Bonabeau e Theraulaz, Swarm Smarts, Scientific American, 2000.

Sistemi fuzzy
Kosko, Neural Networks and Fuzzy Systems, Prentice Hall.

Intelligenza biologica
Kandel, Schwartz, Jessel, Principles of Neural Science, Thrid edition, Elsevier (Cap.1, 2, 6, 19, 40, in particolare).
Damasio, Descartes’ error, Putnam ed., 1994.
•	http://life.csu.edu.au/complex/tutorials/tutorial3.html 
•	http://www.krasnow.gmu.edu/ascoli/Teaching/index_461_02.htm
•	Giorgio A. Ascoli and Jeffrey L. Krichmar J.,  L-Neuron: A Modeling Tool for the Efficient Generation and Parsimonious Description of Dendritic Morphology. J. Neurocomputing, 2000.
•	Przemyslaw Prusinkiewicz, Lars M¨undermann, Radoslaw Karwowski, Brendan Lane. The use of positional information in the modeling of plants. Proc. Siggraph 2001.
•	Hiroshi Imamizu, Tomoe Kuroda, Satoru Miyauchi, Toshinori Yoshioka, and Mitsuo Kawato. Modular organization of internal models of tools in the human cerebellum. PNAS, April 29, 2003, vol. 100, no. 9, pp. 5461–5466.
•	Stephanie D. Preston & Frans B. M. de Waal. Empathy: Its ultimate and proximate bases, 2001.
•	D. Perani,  F. Fazio, N. A. Borghese, M. Tettamanti, S. Ferrari, J. Decety, and M. C. Gilardi. Different Brain Correlates for Watching Real and Virtual Hand Actions. NeuroImage 14, 749–758 (2001).
•	Lacquaniti F. and Caminiti R., Visuo-motor transformations for arm reaching, European J. of Neurosc., VOl. 10, pp. 195-203, 1998.
•	J. Xing and R.A. Andersen. Models for the Posterior Parietal Cortex which Perform Multimodal Integration and Represent Space in Several Coordinate Frames. J. Congitive Science, 12.4, pp. 601-614, 2000.

Connessionismo
Hertz, Krough and Palmer, Introduction to the theory of Neural Computation, Addison Wesley (Capitoli 1, 5,  7.4, 8.1, 9.5, 9.6, 9.7 in particolare). 
Sutton and Barto, Reinforcement Learning - An Introduction, MIT Press, 1998.
Miller, Sutton e Werbos (eds.) Neural Networks for Control, MIT Press, 1990.
•	J. Moody and C.J. Darken, Fast Learning in Networks of Locally-Tuned Processing Units, Neural Computation, Vol. 1, pp. 281-294, 1989.
•	D.F. Specht, Probabilistic Neural Networks, Neural Networks, Vol. 3, pp. 109-118, 1990.
•	F. Girosi, M. Jones, T. Poggio, Prioris, Stabilizers, and Basis Functions: from regularization to radial, tensor and additive splines, A.I. Memo No. 1430, MIT, 1993.
•	Borghese N.A. and Ferrari S. (2000), A Portable Modular System for Automatic Acquisition of 3D Objects, IEEE Trans. Instrumentation & Mesurement, Vol. 49(5), pp. 1128-1136. 
•	Borghese N.A., Maggioni M. and Ferrari S., (2003) Multi-Scale Approximation with Hierarchical Radial Basis Functions Networks, IEEE Trans. Neural Networks, November, 2003. 
•	Jervis and Fallside, Pole Balancing on a Real Rig using Reinforcement Learning Controller, 1992.
•	Barto, Sutton e Anderson, Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems. IEEE Trans. Systems, Man & Cybernetics, 1983.

Visione artificiale
Trucco-Verri. Introductory Techniques for 3D Computer Vision (Capitoli 1, 2, 4.1, 6, 7, 8). Prentice Hall. 1998. 
Zisserman-Hartley. Multiple-View Geometry. Cambridge University Press. 2002.
•	Marc Pollefeys, Tutorial on 3D from Images, 2000, ECCV2000.
•	Cavalleri P., Sabatini S., Solari F., e Bisio M. Centric-Minded Templates for Self-Motion Perception, Vision Research, 43(2003), pp. 1473-1493.
•	Barron, Fleet and Beauchemin, Performance of Optical Flow Techniques, Techincal Report. 1994.

Robotica.
Craig. Introduction to Robotics. Addison Wesley (Capitoli 1-5, nozioni fondamentali).
Robot MindStorm: http://www.noga.de/legOS/.
•	Robots: Intelligence, Versatility, Adaptivity, Special Issue of Communications of the ACM, Vol. 45, No. 3, March 2003.
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